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Improved real-time PCR method for quantification of the abundance of all known ribotypes of the ichthyotoxic dinoflagellate Cochlodinium polykrikoides by comparing 4 different preparation methods.
Abstract
Red tides by the ichthyotoxic dinoflagellate Cochlodinium polykrikoides have caused large scaled mortality of fish and great loss in aquaculture industry in many countries. Detecting and quantifying the abundance of this species are the most critical step in minimizing the loss. The conventional quantitative real-time PCR (qPCR) method has been used for quantifying the abundance of this species. However, when analyzing >500 samples collected during huge C. polykrikoides red tides in South Sea of Korea in 2014, this conventional method and the previously developed specific primer and probe set for C. polykrikoides did not give reasonable abundances when compared with cell counting data. Thus improved qPCR methods and a new specific primer and probe set reflecting recent discovery of 2 new ribotypes have to be developed. A new species-specific primer and probe set for detecting all 3 ribotypes of C. polykrikoides was developed and provided in this study. Furthermore, because the standard curve between cell abundance and threshold cycle value (Ct) is critical, the efficiencies of 4 different preparation methods used to determine standard curves were comparatively evaluated. The standard curves were determined by using the following 4 different preparations: (1) extraction of DNA from a dense culture of C. polykrikoides followed by serial dilution of the extracted DNA (CDD method), (2) extraction of DNA from each of the serially diluted cultures with different concentrations of C. polykrikoides cultures (CCD method), (3) extraction of DNA from a dense field sample of C. polykrikoides collected from natural seawater and then dilution of the extracted DNA in serial (FDD method), and (4) extraction of DNA from each of the serially diluted field samples having different concentrations of C. polykrikoides (FCD method). These 4 methods yielded different results. The abundances of C. polykrikoides in the samples collected from the coastal waters of South Sea, Korea, in 2014-2015, obtained using the standard curves determined by the CCD and the FCD methods, were the most similar (0.93-1.03 times) and the second closest (1.16-1.33 times) to the actual cell abundances obtained by enumeration of cells. Thus, our results suggest that the CCD method is a more effective tool to quantify the abundance of C. polykrikoides than the conventional method, CDD, and the FDD and FCD methods.
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Numerous studies have shown the utility and statistical rigor of determining cell concentrations using qPCR compared to other visual detection methods for the HAB species presented here.
“Numerous studies have shown the utility and statistical rigor of determining cell concentrations using qPCR compared to other visual detection methods for the HAB species presented here (e.g., Handy et al., 2008;Eckford-Soper and Daugbjerg, 2015;Lee et al., 2017;Vandersea et al., 2017).”
From Current and Future Remote Sensing of Harmful Algal Blooms in the Chesapeake Bay to Support the Shellfish Industry (2020) · cites this paper as Lee et al., 2017
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Cites
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0
Tamura, K., Dudley, J. T., Nei, M., & Kumar, S. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm092 · Cited by 28,734
Guillard, R. R., & Ryther, J. (1962) · Canadian Journal of Microbiology (print) · doi:10.1139/m62-029 · Cited by 7,663
A review of harmful algal blooms and their apparent global increase
Hallegraeff, G. M. (1993) · Phycologia · doi:10.2216/i0031-8884-32-2-79.1 · Cited by 2,466
OligoCalc: an online oligonucleotide properties calculator
Kibbe, W. A. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm234 · Cited by 1,349
Suzuki, M. T., Taylor, L. T., & DeLong, E. F. (2000) · Applied and Environmental Microbiology · doi:10.1128/aem.66.11.4605-4614.2000 · Cited by 1,194
Scholin, C. A., Herzog, M., Sogin, M. L., & Anderson, D. M. (1994) · Journal of Phycology · doi:10.1111/j.0022-3646.1994.00999.x · Cited by 887
Jeong, H. J., Yoo, Y. D., Kim, J. S., Seong, K. A., Kang, N. S., & Kim, T. (2010) · Ocean Science Journal · doi:10.1007/s12601-010-0007-2 · Cited by 647
Self-citationTurning back the harmful red tide
Anderson, D. M. (1997) · Nature · doi:10.1038/41415 · Cited by 469
Galluzzi, L., Penna, A., Bertozzini, E., Vila, M., Garcés, E., & Magnani, M. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.2.1199-1206.2004 · Cited by 282
Bowers, H. A., Tengs, T., Glasgow, H. B., Burkholder, J. M., Rublee, P. A., & Oldach, D. (2000) · Applied and Environmental Microbiology · doi:10.1128/aem.66.11.4641-4648.2000 · Cited by 231
Hou, Y., Zhang, H., Miranda, L., & Lin, S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009545 · Cited by 222
Economic impact, management and mitigation of red tides in Korea
Park, T.-G., Lim, W., Park, Y. T., Lee, C. K., & Jeong, H. J. (2013) · Harmful Algae · doi:10.1016/j.hal.2013.10.012 · Cited by 191
Self-citationKudela, R. M., & Gobler, C. J. (2012) · Harmful Algae · doi:10.1016/j.hal.2011.10.015 · Cited by 184
Coyne, K. J., Handy, S. M., Demir‐Hilton, E., Whereat, E. B., Hutchins, D. A., Portune, K. J., Doblin, M. A., & Cary, S. C. (2005) · Limnology and Oceanography Methods · doi:10.4319/lom.2005.3.381 · Cited by 158
Litaker, R. W., Vandersea, M. W., Kibler, S. R., Reece, K. S., Stokes, N. A., Steidinger, K. A., Millie, D. F., Bendis, B., Pigg, R. J., & Tester, P. A. (2003) · Journal of Phycology · doi:10.1046/j.1529-8817.2003.02112.x · Cited by 138
Lee, C.-K., Park, T.-G., Park, Y.-T., & Lim, W.-A. (2013) · Harmful Algae · doi:10.1016/j.hal.2013.10.002 · Cited by 137
Galluzzi, L., Bertozzini, E., Penna, A., Perini, F., Garcés, E., & Magnani, M. (2009) · Journal of Applied Phycology · doi:10.1007/s10811-009-9411-3 · Cited by 129
Tang, Y. Z., & Gobler, C. J. (2009) · Harmful Algae · doi:10.1016/j.hal.2008.10.001 · Cited by 122
Iwataki, M., Kawami, H., Mizushima, K., Mikulski, C. M., Doucette, G. J., Relox, J. R., Anton, A., Fukuyo, Y., & Matsuoka, K. (2008) · Harmful Algae · doi:10.1016/j.hal.2007.12.003 · Cited by 112
Penna, A., & Galluzzi, L. (2012) · Environmental Science and Pollution Research · doi:10.1007/s11356-012-1377-z · Cited by 108
Skovhus, T. L., Ramsing, N. B., Holmström, C., Kjelleberg, S. J., & Dahllöf, I. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.4.2373-2382.2004 · Cited by 108
Mixotrophic dinoflagellate red tides in Korean waters: Distribution and ecophysiology
Park, J., Jeong, H. J., Yoo, Y. D., & Yoon, E. Y. (2013) · Harmful Algae · doi:10.1016/j.hal.2013.10.004 · Cited by 92
Self-citationMolecular quantification of toxic Alexandrium fundyense in the Gulf of Maine using real-time PCR
Dyhrman, S. T., Erdner, D. L., Du, J. K. L., Galac, M. R., & Anderson, D. M. (2005) · Harmful Algae · doi:10.1016/j.hal.2005.07.005 · Cited by 91
Jeong, H. J., Yoo, Y. D., Lee, K. H., Kim, T., Seong, K. A., Kang, N. S., Lee, S. Y., Kim, J. S., Kim, S., & Yih, W. (2013) · Harmful Algae · doi:10.1016/j.hal.2013.10.008 · Cited by 90
Self-citationGray, M., Wawrik, B., Paul, J. H., & Casper, E. T. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.9.5726-5730.2003 · Cited by 76
Gribble, K. E., & Anderson, D. M. (2007) · Phycologia · doi:10.2216/06-68.1 · Cited by 67
Moorthi, S. D., Countway, P. D., Stauffer, B., & Caron, D. A. (2006) · Microbial Ecology · doi:10.1007/s00248-006-9030-3 · Cited by 60
Penna, A., & Galluzzi, L. (2013) · Environmental Science and Pollution Research · doi:10.1007/s11356-013-1519-y · Cited by 59
Park, T.-G., de Salas, M. F., Bolch, C. J. S., & Hallegraeff, G. M. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.02389-06 · Cited by 56
Lim, A. S., Jeong, H. J., Jang, T. Y., Jang, S. H., & Franks, P. J. S. (2014) · Harmful Algae · doi:10.1016/j.hal.2014.05.003 · Cited by 51
Self-citationPark, B. S., Wang, P., Kim, J. H., Kim, J., Gobler, C. J., & Han, M. (2014) · Harmful Algae · doi:10.1016/j.hal.2014.04.019 · Cited by 46
Self-citationMonitoring toxic Ostreopsis cf. ovata in recreational waters using a qPCR based assay
Casabianca, S., Perini, F., Casabianca, A., Battocchi, C., Giussani, V., Chiantore, M., & Penna, A. (2014) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2014.09.018 · Cited by 39
Mikulski, C. M., Park, Y. T., Jones, K. L., Lee, C. K., Lim, W., Lee, Y. S., Scholin, C. A., & Doucette, G. J. (2008) · Harmful Algae · doi:10.1016/j.hal.2007.12.015 · Cited by 39
Smith, K. F., de Salas, M. F., Adamson, J. E., & Rhodes, L. (2014) · Marine Drugs · doi:10.3390/md12031361 · Cited by 38
Park, T.-G., & Park, Y. (2009) · Harmful Algae · doi:10.1016/j.hal.2009.08.002 · Cited by 29
Park, T.-G., Park, Y., & Lee, Y. (2009) · Phycologia · doi:10.2216/08-52.1 · Cited by 27
Park, T.-G., Park, G.-H., Park, Y., Kang, Y.-S., Bae, H.-M., Kim, C., Jeong, H. J., & Lee, Y. (2008) · Harmful Algae · doi:10.1016/j.hal.2008.09.003 · Cited by 26
Self-citationZhang, F., Shi, Y., Jiang, K., Song, W., Ma, C., Xu, Z., & Ma, L. (2013) · Journal of Applied Phycology · doi:10.1007/s10811-013-0163-8 · Cited by 23
Jeong, H., Park, J.-K., Choi, H.-Y., Yang, J. S., Shim, J.-H., Shin, Y.-K., Yih, W., Kim, H.-S., & Cho, H. J. (2000) · Symposium on Experimental and Efficient Algorithms · Cited by 13
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Wolny, J. L., Tomlinson, M. C., Schollaert Uz, S., Egerton, T. A., McKay, J. R., Meredith, A., Reece, K. S., Scott, G. P., & Stumpf, R. P. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.00337 · Cited by 80
Lee, H.-G., Kim, H. M., Min, J., Kim, K., Park, M. G., Jeong, H. J., & Kim, K. Y. (2017) · ALGAE · doi:10.4490/algae.2017.32.9.10 · Cited by 26
Self-citationOk, J. H., Jeong, H. J., Lim, A. S., Lee, S. Y., & Kim, S. J. (2018) · Harmful Algae · doi:10.1016/j.hal.2018.03.011 · Cited by 24
Self-citationLee, S. Y., Jeong, H. J., Kang, H. C., You, J. H., You, J. H., Park, S. A., & Eom, S. H. (2021) · ALGAE · doi:10.4490/algae.2021.36.3.4 · Cited by 21
Self-citationWang, S.-Y., Bi, W., Gan, W., Li, X., Zhang, B., Fu, G., & Jiang, T. (2021) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2021.120711 · Cited by 19
Kang, H. C., Jeong, H. J., You, J. H., You, J. H., Jang, S. H., Lee, K. H., Lee, K. H., Park, J. Y., & Rho, J. (2019) · ALGAE · doi:10.4490/algae.2019.34.5.25 · Cited by 18
Self-citationJang, S. H., & Jeong, H. J. (2020) · ALGAE · doi:10.4490/algae.2020.35.2.24 · Cited by 17
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Self-citationLee, S. Y., Jeong, H. J., Ok, J. H., Kang, H. C., & You, J. H. (2020) · ALGAE · doi:10.4490/algae.2020.35.8.25 · Cited by 15
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Lee, S. Y., Jeong, H. J., Kwon, J. E., You, J. H., Kim, S. J., Ok, J. H., Kang, H. C., & Park, J. Y. (2019) · ALGAE · doi:10.4490/algae.2019.34.2.28 · Cited by 13
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Self-citationYou, J. H., Jeong, H. J., Ok, J. H., Kang, H. C., Park, S. A., Eom, S. H., Lee, S. Y., & Kang, N. S. (2023) · Marine Biology · doi:10.1007/s00227-022-04167-z · Cited by 6
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Camerón, H., Fernandez, D., Riquelme, C. E., & Vera-Villalobos, H. (2026) · Marine Biotechnology · doi:10.1007/s10126-026-10575-9
Metadata
- Authors
- Lee, S. Y., Jeong, H. J., Seong, K. A., Lim, A. S., Kim, J. H., Lee, K. H., Lee, M. J., & Jang, S. H.
- Affiliations
- Seoul National University (KR)
- Kunsan National University (KR)
- Corresponding author
- Lee, Sung Yeon
- Jeong, Hae Jin
- Venue
- Harmful Algae
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 63
- Pages
- 23-31
- ISSN
- 1568-9883 (ISSN-L)
- OpenAlex
- W2581941139
- Cited by
- 17
- References
- 39
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 2 · 2021: 4 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 2
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Harmful Algae (publishedVersion)
- PubMed (publishedVersion)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- National Research Foundation of Korea
- Korea government (NRF-2015-M1A5A1041806)
- Program of Korea Institute of Marine Science and Technology Promotion
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Marine Toxins and Detection Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Plankton and Biogeochemistry
- Keywords
- Cochlodinium polykrikoides, red tide, ribotypes, quantitative real-time PCR, DNA extraction methods, fish mortality, aquaculture losses, South Sea of Korea
- MeSH terms
- Dinoflagellida, Environmental Monitoring, Ribotyping, Harmful Algal Bloom, Real-Time Polymerase Chain Reaction
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